This study examines the analysis and visualization of a dataset from the London Police that
contains crime incidents reported over a 12-month span. The dataset contains several …

For decades, tuberculosis (TB) is an unavoidable lung disease and epidemic for several
developing nations. It proceeds to be the main cause of demises worldwide. It is because of …

Traditional data analytics tools are designed to deal with the asymmetrical type of data ie,
structured, semi-structured, and unstructured. The diverse behavior of data produced by …

The development and wealth of countries depend heavily on the stock market. Data mining
and artificial intelligence methods are required to analyze stock market data. The financial …

This is the era, where the plastic money concept is widely adapted all over the world, but
every new technology has its own loopholes also. In this scenario many types of anomalies …

Crop recommendation system is an emerging system that is being used in the agricultural
sector. It is used to provide a better guide to the farmers regarding the method of cultivation …

In Big data domain, platform dependency can alter the behavior of the business. It is
because of the different kinds (Structured, Semi-structured and Unstructured) and …

In the field of data science and machine learning, data clustering is a potent technique that
enables academics and businesses to glean valuable insights from massive and …

Multi-core processing is extensively used in every sector for its performance efficiency, with
the advent of multi-core architecture have to modify the existing primitive algorithms. This …

ASD, often known as an autism spectrum disorder, is a neurodevelopmental condition that
impairs a person's capacity for successful social interaction and communication. The long …